#' Convert local entropy results to SF
#'
#' @param segregation_results a segreg object containing the results of a
#' call to measure_segregation().
#' @param bandwidths
#'
#' @return a spatial sf object with local entropy results
#'
#' @export
#'
#' @examples
#'
#' library("sf")
#' library("ggplot2")
#' library("segregr")
#'
#' # load sample data from package segregr
#' marilia_sf <- st_read(system.file("extdata/marilia_2010.gpkg", package = "segregr"))
#'
#' # calculate segregation metrics
#' segregation <- measure_segregation(marilia_sf)
#'
#' # export local entropy results
#' entropy <- entropy_to_sf(segregation)
#'
#' # plot local entropy
#' ggplot(data = entropy) +
#' geom_sf(aes(fill = entropy)) +
#' scale_fill_distiller(palette = "Spectral")
entropy_to_sf <- function(segregation_results, bandwidths = c()) {
result <- segregation_results$areal_units %>%
dplyr::left_join(segregation_results$h, by = c("id")) %>%
dplyr::select(id, bw, entropy = e)
if (length(bandwidths) != 0) {
result <- filter(result, bw %in% bandwidths)
}
return(result)
}
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